Genomic Surveillance of COVID-19 Variants With Language Models and Machine Learning

The global efforts to control COVID-19 are threatened by the rapid emergence of novel SARS-CoV-2 variants that may display undesirable characteristics such as immune escape, increased transmissibility or pathogenicity. Early prediction for emergence of new strains with these features is critical for...

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Detalles Bibliográficos
Autores principales: Nagpal, Sargun, Pal, Ridam, Ashima, Tyagi, Ananya, Tripathi, Sadhana, Nagori, Aditya, Ahmad, Saad, Mishra, Hara Prasad, Malhotra, Rishabh, Kutum, Rintu, Sethi, Tavpritesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024110/
https://www.ncbi.nlm.nih.gov/pubmed/35464852
http://dx.doi.org/10.3389/fgene.2022.858252

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024110/
https://www.ncbi.nlm.nih.gov/pubmed/35464852
http://dx.doi.org/10.3389/fgene.2022.858252

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